NUFEB: A massively parallel simulator for individual-based modelling of microbial communities

We present NUFEB (Newcastle University Frontiers in Engineering Biology), a flexible, efficient, and open source software for simulating the 3D dynamics of microbial communities. The tool is based on the Individual-based Modelling (IbM) approach, where microbes are represented as discrete units and...

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Published inPLoS computational biology Vol. 15; no. 12; p. e1007125
Main Authors Li, Bowen, Taniguchi, Denis, Gedara, Jayathilake Pahala, Gogulancea, Valentina, Gonzalez-Cabaleiro, Rebeca, Chen, Jinju, McGough, Andrew Stephen, Ofiteru, Irina Dana, Curtis, Thomas P, Zuliani, Paolo
Format Journal Article
LanguageEnglish
Published United States Public Library of Science 01.12.2019
Public Library of Science (PLoS)
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Summary:We present NUFEB (Newcastle University Frontiers in Engineering Biology), a flexible, efficient, and open source software for simulating the 3D dynamics of microbial communities. The tool is based on the Individual-based Modelling (IbM) approach, where microbes are represented as discrete units and their behaviour changes over time due to a variety of processes. This approach allows us to study population behaviours that emerge from the interaction between individuals and their environment. NUFEB is built on top of the classical molecular dynamics simulator LAMMPS (Large-scale Atomic/Molecular Massively Parallel Simulator), which we extended with IbM features. A wide range of biological, physical and chemical processes are implemented to explicitly model microbial systems, with particular emphasis on biofilms. NUFEB is fully parallelised and allows for the simulation of large numbers of microbes (107 individuals and beyond). The parallelisation is based on a domain decomposition scheme that divides the domain into multiple sub-domains which are distributed to different processors. NUFEB also offers a collection of post-processing routines for the visualisation and analysis of simulation output. In this article, we give an overview of NUFEB's functionalities and implementation details. We provide examples that illustrate the type of microbial systems NUFEB can be used to model and simulate.
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Current address: School of Engineering, University of Glasgow, Glasgow, United Kingdom
The authors have declared that no competing interests exist.
Current address: Department of Oncology, University of Oxford, Oxford, United Kingdom
ISSN:1553-7358
1553-734X
1553-7358
DOI:10.1371/journal.pcbi.1007125